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A Unified Approach to Interpreting Model Predictions

22 May 2017

Papers citing "A Unified Approach to Interpreting Model Predictions"

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Title
Supply Chain Characteristics as Predictors of Cyber Risk: A Machine-Learning Assessment Kevin Hu R. Levi Raphael Yahalom El Ghali Zerhouni 47 1 0 27 Oct 2022
Feature Necessity & Relevancy in ML Classifier Explanations Xuanxiang Huang Martin C. Cooper António Morgado Jordi Planes Sasha Rubin FAtt 69 19 0 27 Oct 2022
Rethinking the Reverse-engineering of Trojan Triggers Zhenting Wang Kai Mei Hailun Ding Juan Zhai Shiqing Ma 82 45 0 27 Oct 2022
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models Zijie J. Wang Evan Montoya David Munechika Haoyang Yang Benjamin Hoover Duen Horng Chau 145 305 0 26 Oct 2022
Which is the best model for my data? Gonzalo Nápoles Isel Grau Çiçek Güven Orçun Özdemir Yamisleydi Salgueiro 51 0 0 26 Oct 2022
Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks Shahaf Bassan Guy Katz FAtt AAML 118 27 0 25 Oct 2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 95 4 0 24 Oct 2022
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 144 40 0 24 Oct 2022
Greedy Modality Selection via Approximate Submodular Maximization Runxiang Cheng Gargi Balasubramaniam Yifei He Yao-Hung Hubert Tsai Han Zhao 56 1 0 22 Oct 2022
Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability Alireza Roustazadeh B. Ghanbarian M. Shadmand Vahid Taslimitehrani L. Lake 30 5 0 22 Oct 2022
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning F. Imrie B. Cebere E. McKinney M. Schaar 115 20 0 21 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 145 34 0 21 Oct 2022
Diffusion Visual Counterfactual Explanations Maximilian Augustin Valentyn Boreiko Francesco Croce Matthias Hein DiffM BDL 78 74 0 21 Oct 2022
Finding Dataset Shortcuts with Grammar Induction Dan Friedman Alexander Wettig Danqi Chen 110 16 0 20 Oct 2022
Multimodal Neural Network For Demand Forecasting Nitesh Kumar K. Dheenadayalan Suprabath Reddy Sumant Kulkarni AI4TS 48 4 0 20 Oct 2022
Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes Alona Zharova Annika Boer Julia Knoblauch Kai Ingo Schewina Jana Vihs 68 2 0 20 Oct 2022
Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation Tien-Cuong Bui Van-Duc Le Wen-Syan Li S. Cha 65 3 0 20 Oct 2022
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang Harvineet Singh Marzyeh Ghassemi Shalmali Joshi 77 23 0 19 Oct 2022
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information I. Nejadgholi Esma Balkir Kathleen C. Fraser S. Kiritchenko 67 3 0 19 Oct 2022
Towards Explaining Distribution Shifts Sean Kulinski David I. Inouye OffRL FAtt 117 28 0 19 Oct 2022
TEFL: Turbo Explainable Federated Learning for 6G Trustworthy Zero-Touch Network Slicing Swastika Roy Hatim Chergui C. Verikoukis 70 3 0 18 Oct 2022
On effects of Knowledge Distillation on Transfer Learning Sushil Thapa 37 1 0 18 Oct 2022
On the Impact of Temporal Concept Drift on Model Explanations Zhixue Zhao G. Chrysostomou Kalina Bontcheva Nikolaos Aletras 101 16 0 17 Oct 2022
RbX: Region-based explanations of prediction models Ismael Lemhadri Harrison H. Li Trevor Hastie 37 2 0 17 Oct 2022
Limited or Biased: Modeling Sub-Rational Human Investors in Financial Markets Penghang Liu Kshama Dwarakanath Svitlana Vyetrenko Tucker Balch AIFin 78 5 0 16 Oct 2022
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction Huanjie Wang Haibin Liu Wenshuo Wang Lijun Sun 68 4 0 15 Oct 2022
Artificial intelligence and renegotiation of commercial lease contracts affected by pandemic-related contingencies from Covid-19. The project A.I.A.Co Maurizio Parton Marco Angelone C. Metta Stefania DÓvidio R. Massarelli L. Moscardelli G. Amato AILaw 19 0 0 14 Oct 2022
Machine Learning in Transaction Monitoring: The Prospect of xAI Julie Gerlings Ioanna D. Constantiou 34 2 0 14 Oct 2022
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods Evan Crothers Nathalie Japkowicz H. Viktor DeLMO 155 113 0 13 Oct 2022
Self-explaining deep models with logic rule reasoning Seungeon Lee Xiting Wang Sungwon Han Xiaoyuan Yi Xing Xie M. Cha NAI ReLM LRM 96 17 0 13 Oct 2022
A Survey on Explainable Anomaly Detection Zhong Li Yuxuan Zhu M. Leeuwen 115 80 0 13 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 65 88 0 13 Oct 2022
Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers William B. Held Diyi Yang VLM 105 6 0 11 Oct 2022
T5 for Hate Speech, Augmented Data and Ensemble Tosin Adewumi Sana Sabah Sabry Nosheen Abid F. Liwicki Marcus Liwicki 72 11 0 11 Oct 2022
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations Vasilis Gkolemis Theodore Dalamagas Christos Diou 58 13 0 10 Oct 2022
Local Interpretable Model Agnostic Shap Explanations for machine learning models P. Aditya M. Pal FAtt 66 6 0 10 Oct 2022
Self-explaining Hierarchical Model for Intraoperative Time Series Dingwen Li Bing Xue C. King Bradley A. Fritz M. Avidan Joanna Abraham Chenyang Lu AI4CE 37 4 0 10 Oct 2022
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 114 18 0 09 Oct 2022
Artificial Intelligence and Natural Language Processing and Understanding in Space: A Methodological Framework and Four ESA Case Studies José Manuél Gómez-Pérez Andrés García-Silva R. Leone M. Albani Moritz Fontaine C. Poncet L. Summerer A. Donati Ilaria Roma Stefano Scaglioni 63 1 0 07 Oct 2022
What Do End-Users Really Want? Investigation of Human-Centered XAI for Mobile Health Apps Katharina Weitz Alexander Zellner Elisabeth André 49 5 0 07 Oct 2022
Utilizing Explainable AI for improving the Performance of Neural Networks Huawei Sun Lorenzo Servadei Hao Feng Michael Stephan Robert Wille Avik Santra 62 7 0 07 Oct 2022
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 88 23 0 05 Oct 2022
Feature Importance for Time Series Data: Improving KernelSHAP M. Villani J. Lockhart Daniele Magazzeni FAtt AI4TS 69 7 0 05 Oct 2022
Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures Andreas Spilz M. Munz 34 12 0 03 Oct 2022
Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Method Paria Ghaheri H. Nasiri Ahmadreza Shateri Arman Homafar 70 18 0 03 Oct 2022
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm Kyriakos Schwarz A. Pliego-Mendieta Amina Mollaysa Lara Planas-Paz C. Pauli Ahmed Allam Michael Krauthammer GNN 38 2 0 03 Oct 2022
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions Minkyu Kim Hyunjin Choi Jinho Kim FAtt 86 8 0 30 Sep 2022
Understanding Interventional TreeSHAP : How and Why it Works Gabriel Laberge Y. Pequignot FAtt 42 6 0 29 Sep 2022
Sequential Attention for Feature Selection T. Yasuda M. Bateni Lin Chen Matthew Fahrbach Gang Fu Vahab Mirrokni 110 11 0 29 Sep 2022
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge Cara L. Widmer Md Kamruzzaman Sarker Srikanth Nadella Joshua L. Fiechter I. Juvina B. Minnery Pascal Hitzler Joshua Schwartz M. Raymer 102 7 0 27 Sep 2022